Automatic detection of the concrete structures’ cracks and how it impacts the health of ... concrete structural health are primarily focused. Models that use CNN architecture in deep learning and ...

Aviation safety analysts said they expect officials investigating the crash, which killed 179 people, to look into the location and composition of a structure housing an antenna. By River Akira ...

“Crack detection and characterization techniques ... SULEIMAN, A.R., NEHDI, M.L., “Classification and quantification of cracks in concrete structures using deep learning image-based techniques”, ...

A recent article published in Buildings demonstrated the use of a deep learning-based intelligent detection algorithm to detect surface diseases in concrete ... can detect cracks and exposed ...

Reported in the journal Automation in Construction, their multi-scale system combines computer vision with a deep-learning algorithm to ... Training the algorithms on datasets of concrete structure ...

Reported in the journal Automation in Construction, their multi-scale system combines computer vision with a deep-learning ... of concrete structure images turns them into crack crack-spotters.

Ebrahimkhanlou originally developed the process for using graph features to create a kind of “fingerprint” for each set of cracks ... machine learning program extract graph features from a set of ...

Numerous studies about crack detection considered VGG16 ... This paper aims to build a deep learning model using Yolov3 that can detect a crack in reinforce concrete structures and categorize a medium ...

In this paper, the instance segmentation method and semantic segmentation method are used to realize the surface crack recognition of concrete structures, and a concrete crack detection method based ...